The Role
Design, build, and maintain scalable ETL/ELT pipelines using Python, PySpark, Databricks, Snowflake, and SQL. Integrate data from multiple sources, ensure data quality, optimize queries and workflow performance, and monitor and troubleshoot pipelines. Collaborate with analysts, data scientists, and software engineers to deliver data solutions while documenting data models, pipelines, and technical processes.
Summary Generated by Built In
- Design, build, and maintain scalable ETL/ELT data pipelines.
- Develop data processing workflows using Python and PySpark.
- Work with Databricks and Snowflake for data storage, transformation, and analytics.
- Integrate data from multiple sources while ensuring data quality and integrity.
- Optimize SQL queries and improve data pipeline performance.
- Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions.
- Monitor, troubleshoot, and maintain data workflows.
- Document data models, pipelines, and technical processes.
Requirements
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
- Strong proficiency in Python, PySpark, and SQL
- Hands-on experience with Databricks and Snowflake
- Good understanding of ETL/ELT pipeline development
- Familiarity with PyTorch
- Knowledge of data warehousing concepts and cloud platforms
- Strong analytical and problem-solving skills
- Excellent communication and teamwork abilities
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The Company
What We Do
Bonami Software is an AI-first technology company that develops custom AI solutions and intelligent digital products for healthcare, logistics, supply-chain, and GCC markets. Its offerings include generative AI and large-language-model development, AI automation, enterprise systems, machine learning, NLP, and dedicated software teams. The company also provides web, mobile, blockchain, and product-engineering services, helping organizations modernize operations and build scalable, AI-powered platforms.
